Vaselli, F. (2025) Advancing High-Energy Physics through Machine Learning: Current state and future prospects. Il nuovo cimento C, 48 (3). pp. 1-5. ISSN 1826-9885
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Abstract
Recent advancements in AI and Machine Learning are having re markable results in the field of High Energy Physics. The growing adoption of Transformer architectures make it easy to build and innovate from industry developments, while the community is increasingly looking to foundation models as the next promising approach. The following work is a brief review of current innovations and an outlook of possible future developments.
| Item Type: | Article |
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| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 19 Jun 2025 11:10 |
| Last Modified: | 19 Jun 2025 11:10 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/23621 |
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